Flexible Hybrid Table Recognition and Semantic Interpretation System.
SN Comput. Sci., May, 2023
Robust Information Extraction From Unstructured Documents.
PhD thesis, 2023
Semantic Extraction of Key Figures and Their Properties From Tax Legal Texts Using Neural Models.
Proceedings of the 6th Workshop on Automated Semantic Analysis of Information in Legal Text co-located with the 19th International Conference on Artificial Intelligence and Law (ICAIL 2023), 2023
A hybrid approach for identifying drug repurposing candidates and their mechanisms: An interview with Vanessa Lage-Rupprecht and two co-authors.
Patterns, 2022
A hybrid approach unveils drug repurposing candidates targeting an Alzheimer pathophysiology mechanism.
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Patterns, 2022
Benchmarking table recognition performance on biomedical literature on neurological disorders.
Bioinform., 2022
Flexible Table Recognition and Semantic Interpretation System.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022
Tab.IAIS: Flexible Table Recognition and Semantic Interpretation System.
CoRR, 2021
Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
NAT: Noise-Aware Training for Robust Neural Sequence Labeling.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Efficient, Lexicon-Free OCR using Deep Learning.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019